A deep multiple self-supervised clustering model based on autoencoder networks by Ling Zhu, Zijin Liu, Guangyu Liu

“…It leverages a gradient-like approach for data reconstruction, enabling the autoencoder to learn features more conducive to clustering, thereby enhancing clustering performance. …”
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Real-Time Deep Intelligence Analysis and Visualization of COVID-19 Using FCNN Mechanism by Cherukuri Triveni, K. Suvarna Vani, M. Likhitha

“…At 1st stage, the auto stack encoding process is applied later same data is processed with FCNN deep learning classifier. …”
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Identification of Spambots and Fake Followers on Social Network via Interpretable AI-Based Machine Learning by Danish Javed, Noor Zaman Zaman, Navid Ali Khan, Sayan Kumar Ray, Arafat Al-Dhaqm, Victor R. Kebande

“…This study aims to address these limitations by developing a novel methodology for the detection of spambots and fake followers using annotated data. To this end, we propose an interpretable machine learning (ML) framework, leveraging multiple ML algorithms with hyperparameters optimized through cross-validation, to enhance the detection process. …”
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On-the-Job Ethics - Proximity Morality Forming in Medical School by Hans O. Thulesius

“…The paper gives an example of how grounded theory can be used with a limited amount of survey data. …”
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Clusters and complex segments in Strict CV by Kaitlyn Owens

“…Varieties of Romance frequently realize /ʎ/ with an accompanying glide-like element (e.g. Colantoni, 2004). We therefore posit that this element may be reinterpretable as a separate segment and therefore be subject to processes which impact the phonological structure. …”
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Platelet-Activating Factor-Induced Inflammation in Obesity: A Two-Sided Coin of Protection and Risk by Smaragdi Antonopoulou

“…Platelet-activating factor (PAF), a “primitive” signaling molecule, is among the key mediators involved in the acute phase of inflammation and in various pathophysiological processes. This article explores the role of PAF in fat accumulation and obesity by reviewing experimental data from cell cultures, animals, and humans. …”
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Deriving surface opacity from serial interactions: the case of Arabic epenthesis by Abdullah Alfaifi

“…Using Optimality Theory with Harmonic Serialism, we analyze data from these dialects. Data were drawn from published descriptions. …”
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Ernährung & Sport by Predel H-G, Weisser B, Latsch J, Schramm T, Hohlfeld A, Randerath O

“…This has changed to more challenging exercises like work-out. However, the effects of some of these activities on the cardiopulmonary, muscular and metabolic system are comparable to competitive sports which has an impact on sports medicine-related guidance. …”
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Enhanced detection of surface deformations in LPBF using deep convolutional neural networks and transfer learning from a porosity model by Muhammad Ayub Ansari, Andrew Crampton, Samer Mohammed Jaber Mubarak

“…Abstract Our previous research papers have shown the potential of deep-learning models for real-time detection and control of porosity defects in 3D printing, specifically in the laser powder bed fusion (LPBF) process. Extending these models to identify other defects like surface deformation poses a challenge due to the scarcity of available data. …”
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Contribution of RENAM to informational services development for higher education and research by Petru BOGATENCOV, Ion COVALENCO

“…The transition of the traditional science and higher education to e-Science and e-Education is fueled by the ever increasing needs to have access, process and visualize of exceedingly large amounts of data that can’t be managed without modern communication and computing instruments. …”
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Disease candidate genes prediction using positive labeled and unlabeled instances by Sepideh Molaei, Saeed Jalili

“…Notably, there is no source for the negative data set. The proposed method is a two-step process: The first step is the extraction of reliable negative genes from a set of unlabeled genes by one-class learning and a filter based on distance indicators from known disease genes; this step is performed separately for each disease. …”
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DRSegNet: A cutting-edge approach to Diabetic Retinopathy segmentation and classification using parameter-aware Nature-Inspired optimization. by Sundreen Asad Kamal, Youtian Du, Majdi Khalid, Majed Farrash, Sahraoui Dhelim

“…Diabetic retinopathy (DR) is a prominent reason of blindness globally, which is a diagnostically challenging disease owing to the intricate process of its development and the human eye's complexity, which consists of nearly forty connected components like the retina, iris, optic nerve, and so on. …”
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TransBind allows precise detection of DNA-binding proteins and residues using language models and deep learning by Md Toki Tahmid, A.K.M. Mehedi Hasan, Md Shamsuzzoha Bayzid

“…Existing machine learning methods, while faster, often lack accuracy and struggle with data imbalance, relying heavily on evolutionary profiles like PSSMs and HMMs derived from multiple sequence alignments (MSAs). …”
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Morphosyntactic and Semantic Analysis of Balochi Verbs by Khursheed Ahmad, Safar Khan, Zahid Ali, Shahbaz Ahmed

“…The data have been analyzed through Radford’s (2009) “theory of agreement”. …”
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Potret masyarakat urban dalam novel Teman Tapi Menikah karya Ayudia Bing Slamet dan Ditto Percussion by Wiekandini Dyah Pandanwangi, Siwi Annisa Setyaningtyas, Sri Nani Hari Yanti

“…In addition, it criticizes that people today do not like the process, so they become people who are easily discouraged and not resilient. …”
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From text to traits: exploring the role of large language models in plant breeding by Mohsen Yoosefzadeh-Najafabadi

“…Modern plant breeders regularly deal with the intricate patterns within biological data in order to better understand the biological background behind a trait of interest and speed up the breeding process. …”
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Strategies for Digital Economy Operation of Urban Parks Guided by Gamification Methods by Zhaochen WANG

“…This system is expected to promote the exploration of diverse values, including economic, data, and cultural aspects of park green spaces, such as value-added development, revenue enhancement, data collection, and cultural exploration and display. …”
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A blockchain secured metaverse framework for scalable and immersive telemedicine by Rahul Ganpatrao Sonkamble, Swati Shirke-Deshmukh, Vijay Katkar, M. Lunagaria, Ganshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Assessments indicate that system receives a significantly high level of satisfaction from its users, better secured data, increased automation of processes, and compliance with global standards such as General Data Protection Regulation (GDPR). …”
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Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach by Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam

“…Integrating deep learning with knowledge distillation techniques not only enhances the accuracy of seismic interpretation models but also makes them more feasible for practical applications, offering a powerful tool for seismic exploration and potentially transforming how seismic data is processed for subsurface characterization and accelerating decision-making in exploration and production.…”
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Taṭbīq al-Wasīlah al-Raqmiyyah "Klāss Dūjū" bi Istikhdām Namūżaj "Flībīd Klāsrūm" li Taʿlīm al-Lughah al-ʿArabiyyah by Chadijah Qubro Lubis, Miftahul Huda, Ma'rifatul Munjiah

“…Educational technology is a crucial tool for advancing the teaching-learning process, prompting researchers to explore supportive digital media. …”
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